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20 September 2013
Article (Scientific journals)
Dynamic Simulation of Large-scale Power Systems Using a Parallel Schur-complement-based Decomposition Method
Aristidou, Petros  ; Fabozzi, Davide; Van Cutsem, Thierry 
2014 • In IEEE Transactions on Parallel and Distributed Systems, 25 (10), p. 2561-2570
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Keywords :
domain decomposition methods; Schur complement; ower system dynamic simulation; OpenMP; shared-memory
Abstract :
[en] Power system dynamic simulations are crucial for the operation of electric power systems as they provide important information on the dynamic evolution of the system after an occurring disturbance. This paper proposes a robust, accurate and efficient parallel algorithm based on the Schur complement domain decomposition method. The algorithm provides numerical and computational acceleration of the procedure. Based on the shared-memory parallel programming model, a parallel implementation of the proposed algorithm is presented. The implementation is general, portable and scalable on inexpensive, shared-memory, multi-core machines. Two realistic test systems, a medium-scale and a large-scale, are used for performance evaluation of the proposed method.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Aristidou, Petros ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Fabozzi, Davide
Van Cutsem, Thierry  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Dynamic Simulation of Large-scale Power Systems Using a Parallel Schur-complement-based Decomposition Method
Publication date :
October 2014
Journal title :
IEEE Transactions on Parallel and Distributed Systems
Publisher :
Institute of Electrical and Electronics Engineers, United States
Volume :
25
Issue :
10
Pages :
2561-2570
Peer reviewed :
Peer Reviewed verified by ORBi

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